boschresearch / numerics_independent_neural_odes
Code accompanying the ICLR 2021 paper "ResNet After All? Neural ODEs and Their Numerical Solution"
☆9Updated 2 years ago
Alternatives and similar repositories for numerics_independent_neural_odes:
Users that are interested in numerics_independent_neural_odes are comparing it to the libraries listed below
- Symplectic Recurrent Neural Networks☆27Updated 2 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Methods and experiments for assumed density SDE approximations☆11Updated 3 years ago
- Nonparametric Differential Equation Modeling☆53Updated 11 months ago
- Port-Hamiltonian Approach to Neural Network Training☆22Updated 5 years ago
- ☆20Updated 4 months ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆57Updated 4 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆49Updated 2 years ago
- Experiment with Neural ODE on Pytorch☆12Updated 5 years ago
- Hamiltonian neural network implementation for Henon Heiles dynamical system learning mix of order and chaos☆11Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆18Updated 2 years ago
- ☆104Updated 3 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated last year
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- ☆45Updated 4 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Updated 3 years ago
- ☆26Updated 3 years ago
- This repository contains code released by DiffEqML Research☆85Updated 2 years ago
- ☆36Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆69Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- Accompanying code for "Weak form generalized Hamiltonian learning"☆9Updated 4 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 6 years ago
- PyTorch implementation of Hamiltonian deep neural networks.☆19Updated 3 years ago
- ☆28Updated 2 years ago
- ☆10Updated 4 months ago
- ☆19Updated 2 years ago